Awesome Conditioning & Control

Key papers

• Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis (2025)
  Bingxin Ke et al.
  10.47
• tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow (2018)
  You Xie et al.
  10.12
• DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models (2023)
  Ximing Xing et al.
  8.82
• UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer (2025)
  Haoxuan Wang et al.
  8.49
• Contrastive Flow Matching (2025)
  George Stoica et al.
  8.23
• Attention Distillation: A Unified Approach to Visual Characteristics Transfer (2025)
  Yang Zhou et al.
  7.19
• Diffusion Model-Based Image Editing: A Survey (2024)
  Yi Huang et al.
  5.97
• A Wavelet Diffusion GAN for Image Super-Resolution (2024)
  Lorenzo Aloisi and Luigi Sigillo and Aurelio Uncini and Danilo Comminiello
  5.37
• Projected Coupled Diffusion for Test-Time Constrained Joint Generation (2025)
  Hao Luan et al.
  5.03
• CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching (2025)
  Chen Chen et al.
  4.66
• Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning (2025)
  Qiang Zhu et al.
  4.47
• PepALD: Macrocyclic Peptide Generation via Autoregressive Latent Diffusion (2026)
  Junming Zhang et al.
  4.39
• Towards Controllable Image Generation through Representation-Conditioned Diffusion Models (2026)
  Nithesh Chandher Karthikeyan et al.
  4.33
• Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer (2026)
  Andrii Ahitoliev et al.
  4.33
• Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching (2026)
  Shengyu Feng et al.
  4.33
• Guidance for Low-Level Perceptual Editing in Unconditional Diffusion Models (2026)
  Shreyansh Modi et al.
  4.33
• DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models (2025)
  Ruofan Liang and Zan Gojcic and Huan Ling and Jacob Munkberg and Jon Hasselgren and Zhi-Hao Lin and Jun Gao and Alexander Keller and Nandita Vijaykumar and Sanja Fidler and Zian Wang
  4.25
• SummDiff: Generative Modeling of Video Summarization with Diffusion (2025)
  Kwanseok Kim et al.
  4.09
• Diffusion Models Are Real-Time Game Engines (2024)
  Dani Valevski et al.
  3.97
• Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models (2025)
  Fan Yang et al.
  3.97
• StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization (2025)
  Gopalji Gaur et al.
  3.97
• Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation (2025)
  Maximilian Ulmer et al.
  3.97
• DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation (2025)
  Yunhan Yang et al.
  3.92
• Conditional Variational Diffusion Models (2023)
  Gabriel della Maggiora et al.
  3.91
• Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation (2025)
  Jincheng Zhang et al.
  3.81
• Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model (2025)
  Jonas Brenig et al.
  3.81
• TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting (2025)
  Liangbin Xie et al.
  3.75
• Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs (2025)
  Mahshid Shiri et al.
  3.70
• Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation (2025)
  Zahra TehraniNasab et al.
  3.70
• LS-GAN: Human Motion Synthesis with Latent-space GANs (2025)
  Avinash Amballa et al.
  3.59
• Making Time Editable in Video Diffusion Transformers (2026)
  Konstantin Kuklev et al.
  3.51
• It\^o maps for any-step SDEs (2026)
  Zhengkai Pan et al.
  3.51
• CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesis (2026)
  Dongyu Wang et al.
  3.51
• Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention (2026)
  Dinh-Khoi Vo et al.
  3.51
• Conditioning Matters: Stabilizing Inversion and Attention in Diffusion Image Editing (2026)
  Zheyuan Zhan et al.
  3.51
• VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling (2026)
  Xunzhi Xiang et al.
  3.51
• D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models (2026)
  Dengyang Jiang et al.
  3.45
• {\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation (2026)
  Ofir Abramovich et al.
  3.45
• Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control (2024)
  Carles Domingo-Enrich et al.
  3.36
• RAD: Region-Aware Diffusion Models for Image Inpainting (2024)
  Sora Kim et al.
  3.26
• DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform (2024)
  Alexander Denker et al.
  3.20
• Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models (2024)
  Sooyeon Go and Kyungmook Choi and Minjung Shin and Youngjung Uh
  3.20
• Generation of non-stationary stochastic fields using Generative Adversarial Networks (2022)
  Alhasan Abdellatif et al.
  3.19
• Zero-shot Face Editing via ID-Attribute Decoupled Inversion (2025)
  Yang Hou et al.
  3.15
• Conditioning diffusion models by explicit forward-backward bridging (2024)
  Adrien Corenflos et al.
  3.14
• Faster Diffusion via Temporal Attention Decomposition (2024)
  Haozhe Liu et al.
  3.09
• Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model (2024)
  Yuxuan Zhang et al.
  3.03
• Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction (2025)
  Xiao Li and Liangji Zhu and Anand Rangarajan and Sanjay Ranka
  2.99
• Diffusion models for multivariate subsurface generation and efficient probabilistic inversion (2025)
  Roberto Miele et al.
  2.99
• Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors (2025)
  Amartya Banerjee et al.
  2.99
• Gramsr: Visual Feature Conditioning For Diffusion-based Super-resolution (2026)
  Fabio D'Oronzio, Federico Putamorsi, Leonardo Zini, et al.
  2.95
• PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples (2025)
  Junyu Liu et al.
  2.93
• Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation (2024)
  Changgu Chen et al.
  2.92
• LightLab: Controlling Light Sources in Images with Diffusion Models (2025)
  Nadav Magar et al.
  2.87
• Stable Diffusion for Data Augmentation in COCO and Weed Datasets (2023)
  Boyang Deng
  2.86
• Conditional Stochastic Interpolation for Generative Learning (2023)
  Ding Huang et al.
  2.86
• A Diffusion-Based Framework for Occluded Object Movement (2025)
  Zheng-Peng Duan et al.
  2.82
• Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations (2025)
  Ruijie Wang et al.
  2.82
• Deep Bootstrap (2026)
  Jinyuan Chang et al.
  2.77
• Color Alignment in Diffusion (2025)
  Ka Chun Shum et al.
  2.76